torch: torch_erfc – R documentation

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torch_erfc

Erfc

Description

Erfc

Usage

torch_erfc(self)

Arguments

self

(Tensor) the input tensor.

erfc(input, out=NULL) -> Tensor

Computes the complementary error function of each element of input. The complementary error function is defined as follows:

\mathrm{erfc}(x) = 1 - \frac{2}{√{π}} \int_{0}^{x} e^{-t^2} dt

Examples

if (torch_is_installed()) {

torch_erfc(torch_tensor(c(0, -1., 10.)))
}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0

MIT + file LICENSE

Authors

Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]

Initial release